Data Governance Specialist

5 days ago

Hyderabad, Telangana, India algoleap Full time ₹ 15,00,000 - ₹ 25,00,000 per year
  • Data Quality :
  • Define and Measure Data Quality Metrics: Establish metrics for accuracy, completeness, validity, consistency, timeliness, and reliability.
  • Continuous Monitoring and Remediation: Regularly monitor data quality, conduct audits, perform root cause analysis for recurring data issues, and implement preventive measures and remediation plans.
  • Data Profiling: Develop and maintain comprehensive data profiles to understand data characteristics.
  • Data Validation: Create and implement validation rules to ensure that incoming data conforms to expected formats and values.
  • Data Cleansing: Design and execute data cleansing processes to correct errors and inconsistencies, enhancing overall data quality and reliability.
  • Data Governance :
  • Establish Governance Framework: Implement and enforce data governance practices to ensure compliance with regulatory requirements and corporate policies, ensuring data is managed according to best practices.
  • Metadata Management: Develop and maintain a comprehensive metadata repository to document data definitions, lineage, and usage, ensuring it is kept up to date and accessible to end users.
  • Understand User Needs: Collaborate with business users to identify data needs, pain points, and requirements, ensuring the data is fit for its intended use.
  • Identify Improvement Areas: Continuously seek opportunities for process improvement in data governance and quality management.
  • User Roles and Access Requirements: Understand user roles and access requirements for systems, so that similar protection can be implemented into the analytical solutions.
  • Row-Level Security: Work with the data & analytics team to establish row-level security for analytical solutions, ensuring data is accessible only to authorised users.
  • Continuous Improvement:
  • Establish Naming Conventions: Define business friendly table names and column names, along with synonyms, to ensure data easily accessible using AI.
  • Create Synonyms: Implement synonyms to simplify data access and enhance data readability.
  • Establish KPIs for data governance and quality efforts and create regular reports for stakeholders to track progress and demonstrate the value of data governance initiatives.
  • Continuous Improvement: Establish a feedback loop where users can report data quality issues and suggest improvements.

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